AI Literacy Pathway¶
A self-paced introduction to artificial intelligence (AI) in plain language, with no math. Each module is short, points to the relevant material on this site and beyond, ends with a short self-check, and stands alone.
- Modules 1 to 3, the foundations, are for everyone, in order: what these systems are, how to direct them, and a short guide to the university's policy. Together they take about 30 minutes.
- Modules 4 to 6 go deeper for your role, 10 to 15 minutes each. Take the ones that match your work.
- Module 7, on working with agents, is optional, for when the basics feel comfortable. Four optional hands-on guides follow it.
All seven modules take about 75 minutes, and the hands-on guides add about 50 minutes. Every module opens with a short narrated film, and so do several of the guides; The Hub's Films gathers them on one page.
Color key: GuideLesson
A solid line means in order, separate stops mean pick what fits, and a dashed line means optional. Numbered stops are the seven modules; open dots are the hands-on guides. Every module also stands alone: the stages are the recommended order, not a requirement.
The Reference Shelf¶
Six pages that sit alongside the modules.
- How LLMs Work, in Depth Large language models (LLMs), one level down
- Getting Better Answers Context, memory, and standing instructions; Module 7 assumes it
- Glossary The AI terms the pathway uses
- Common Misconceptions Calibrating trust by task
- The Hub's Films Every film on the site, playable on one page
- Courses and Resources External courses for when you finish
About This Pathway¶
The university's AI Responsible Use Policy commits the American University of Antigua to providing training resources on responsible AI use. This pathway is the AI Hub's contribution to that commitment, maintained by the Associate Dean of AI in Medical Education.
What it aligns with. The pathway's coverage is mapped to the Artificial Intelligence Competencies for Medical Educators, the framework compiled by the Central Group on Educational Affairs (CGEA) Faculty Development Special Interest Group and published through the Association of American Medical Colleges (AAMC). Each module notes the competency domain it serves at its foot; the six core modules cover seven of its eight domains, and Module 7 deepens Working with AI and Critical Appraisal of AI Outputs. The eighth, Continuous Professional Development in AI, is about an educator's own ongoing learning.
What it is not. The pathway is not a training requirement, and completing it does not certify anything. It is here to make you a more capable user of these tools.
Questions, corrections, or suggestions: use the feedback form or the contact route on the About page.
Content last reviewed September 1, 2026. Review dates are maintained as described on the About page.